/*
 * Hivemall: Hive scalable Machine Learning Library
 *
 * Copyright (C) 2015 Makoto YUI
 * Copyright (C) 2013-2015 National Institute of Advanced Industrial Science and Technology (AIST)
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package hivemall.tools.array;

import java.util.List;

import org.apache.hadoop.hive.ql.exec.Description;
import org.apache.hadoop.hive.ql.exec.UDF;
import org.apache.hadoop.hive.ql.udf.UDFType;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;

@Description(name = "array_remove", value = "_FUNC_(original, target) - Returns an array that the target is removed "
        + "from the original array")
@UDFType(deterministic = true, stateful = false)
public class ArrayRemoveUDF extends UDF {

    public List<IntWritable> evaluate(List<IntWritable> original, IntWritable target) {
        while(original.remove(target))
            ;
        return original;
    }

    public List<IntWritable> evaluate(List<IntWritable> original, List<IntWritable> targets) {
        original.removeAll(targets);
        return original;
    }

    public List<Text> evaluate(List<Text> original, Text target) {
        while(original.remove(target))
            ;
        return original;
    }

}
